Prompt Lifecycle Governance refers to the structured management of prompts used with AI systems, covering their creation, review, deployment, monitoring, and retirement. This approach ensures prompts are effective, up to date, and compliant with guidelines or policies. It helps organisations maintain quality, security, and accountability in how prompts are used and updated over time.
Category: Responsible AI
Agent Mood Modulation
Agent mood modulation refers to the ability of artificial agents, such as robots or virtual assistants, to adjust their displayed emotional state or mood. This can help make interactions with humans feel more natural and engaging. By altering their responses based on mood, agents can better match the emotional tone of a conversation or environment,…
Zero-Shot Policy Simulation
Zero-Shot Policy Simulation is a technique where artificial intelligence models predict the outcomes of policies or decisions in scenarios they have not seen during training. It allows simulation of new policies without needing specific data or examples from those policies. This approach is valuable for testing ideas or rules quickly, especially when collecting real-world data…
AI Ethics Simulation Agents
AI Ethics Simulation Agents are digital models or software programs designed to mimic human decision-making in situations that involve ethical dilemmas. These agents allow researchers, developers, or policymakers to test how artificial intelligence systems might handle moral choices before deploying them in real-world scenarios. By simulating various ethical challenges, these agents help identify potential risks…
Embedded LLM Validators
Embedded LLM Validators are programs or modules that check the outputs of large language models (LLMs) directly within the application where the model is running. These validators automatically review responses from the LLM to ensure they meet specific requirements, such as accuracy, safety, or compliance with rules. By being embedded, they work in real time…
Prompt Policy Enforcement Points
Prompt Policy Enforcement Points are specific locations within a system where rules or policies about prompts are applied. These points ensure that any prompts given to an AI or system follow set guidelines, such as avoiding harmful or inappropriate content. They act as checkpoints, verifying and enforcing the rules before the prompt is processed or…
AI Code of Conduct
An AI Code of Conduct is a set of guidelines or rules designed to ensure that artificial intelligence systems are developed and used responsibly. It covers principles like fairness, transparency, privacy, and safety to help prevent harm and misuse. Organisations use these codes to guide their teams in making ethical decisions about AI design and…
Consent-Driven Output Filters
Consent-driven output filters are systems or mechanisms that check whether a user has given permission before showing or sharing certain information or content. They act as a safeguard, ensuring that sensitive or personal data is only revealed when the user has agreed to it. This approach helps protect privacy and respects user choices about what…
Compliance via Prompt Wrappers
Compliance via prompt wrappers refers to the method of ensuring that AI systems, such as chatbots or language models, follow specific rules or guidelines by adding extra instructions around user prompts. These wrappers act as a safety layer, guiding the AI to behave according to company policies, legal requirements, or ethical standards. By using prompt…
LLM Acceptable Use Criteria
LLM Acceptable Use Criteria are guidelines that set out how large language models can be used responsibly and safely. These criteria help prevent misuse, such as generating harmful, illegal, or misleading content. They are often put in place by organisations or service providers to ensure that users follow ethical and legal standards when working with…